Volume and Price of ASRUSDT Pair.py

Volume and Price of ASRUSDT Pair.py

import requests
import json
from datetime import datetime, timedelta

# Calculate the start and end timestamps for the last two weeks
end_time = datetime.now()
start_time = end_time - timedelta(days=90)

# Convert to Unix timestamp in seconds
start_timestamp = int(start_time.timestamp())
end_timestamp = int(end_time.timestamp())

# Construct the request URL
base = "https://graph-api.btcturk.com"
method = f"/v1/ohlcs?pair=ASRUSDT&from={start_timestamp}&to={end_timestamp}"
uri = base + method

# Fetch the data
response = requests.get(url=uri)
data = response.json()

# Print the result
print(json.dumps(data, indent=2))

import matplotlib.pyplot as plt
import matplotlib.dates as mdates
from datetime import datetime

# Assuming 'dates', 'volumes', and 'averages' are already defined
# Sample extraction (replace 'data' with your actual JSON response)
dates = [datetime.utcfromtimestamp(item['time']) for item in data]
volumes = [item['volume'] for item in data]
averages = [item['average'] for item in data]

fig, ax1 = plt.subplots()

fig, ax1 = plt.subplots(figsize=(15, 8))

color = 'tab:red'
ax1.set_xlabel('Date')
ax1.set_ylabel('Volume of ASR', color=color)
ax1.plot(dates, volumes, color=color, alpha=0.5)
ax1.fill_between(dates, 0, volumes, color='tab:red', alpha=0.3)
ax1.tick_params(axis='y', labelcolor=color)

ax2 = ax1.twinx()
color = 'tab:blue'
ax2.set_ylabel('Average Price of ASR', color=color)
ax2.scatter(dates, averages, color='tab:blue', alpha=0.5)

ax2.tick_params(axis='y', labelcolor=color)

# Format the x-axis to show dates clearly
ax1.xaxis.set_major_locator(mdates.WeekdayLocator())
ax1.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
plt.xticks(rotation=45)
plt.tight_layout()

plt.show()